LoRa teams for IoT supply chain standards in Europe

March 03, 2021 // By Nick Flaherty
LoRa teams for IoT supply chain standards in Europe
An initial pilot with GS1 uses the LoRaWAN and RFID standards to reduce maintenance costs and improve operational efficiencies on the French railway

The LoRa Alliance has signed a deal with GS1 in Europe to explore adding LoRaWAN networks as an available carrier technology to the GS1 standards with more layers of data. This follows a memorandum of understanding last month.

“What makes a lot of sense in this agreement between GS1 in Europe and the LoRa Alliance is a common belief in the benefits of interoperability,” said François Deprey, vice-chair of GS1 in Europe and CEO of GS1 France.

“For the last 50 years, GS1 has been working with a lot of different industries to make supply chains more efficient, and data more portable and sharable. Nowadays, to fully benefit from the fast-growing development of IoT, better collaboration across sectors and data standardization are essential,” he said.

GS1 represents more than 2.5 million companies around the world on a wide range of standards from healthcare to technology. GS1 in Europe represents 500,000 companies in 49 countries, making the partnership significant for the LoRa Alliance and its low power wide area network (LPWAN) technology in the supply chain and the Internet of Things (IoT).

The aim of the deal is to provide greater efficiency and interoperability for supply chain and maintenance operations across the Internet of Things (IoT), strengthen inventory management, and simplify data exchanges between different systems and stakeholders. The initial collaboration addresses the requirements of the railway industry, with other sectors to follow.

A pilot project is in progress in France for national railway companies to implement a more cost-effective identification system for infrastructure and rollingstock. This initial collaboration is proving the feasibility and value of carrying GS1 identifiers from EPC/RFID tags over LoRaWAN networks.

An enriched data format is being specified, which can be applied to the railway industry to improve geolocation use cases by networks, as well as access to additional sensing data for predictive maintenance and asset management.

Next: IoT LoRa integration


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